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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 11273
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    technical details related to compositions and layers in a manufacturing or material context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    parsedMessage
    -0.76
     חיצוניים
    -0.71
    Personendaten
    -0.70
    MLLoader
    -0.66
     primeiras
    -0.64
    inSlope
    -0.63
     ContentValues
    -0.62
     isFirst
    -0.61
     Wicidata
    -0.61
     Normdatei
    -0.61
    POSITIVE LOGITS
     fourth
    0.91
     III
    0.83
     third
    0.82
    ③
    0.81
     fifth
    0.80
    ④
    0.79
     iii
    0.78
     IV
    0.76
    3
    0.75
    2
    0.74
    Activations Density 3.926%

    No Known Activations